Two fast and accurate heuristic RBF learning rules for data classification

Neural Networks : the Official Journal of the International Neural Network Society
Modjtaba Rouhani, Dawood S Javan

Abstract

This paper presents new Radial Basis Function (RBF) learning methods for classification problems. The proposed methods use some heuristics to determine the spreads, the centers and the number of hidden neurons of network in such a way that the higher efficiency is achieved by fewer numbers of neurons, while the learning algorithm remains fast and simple. To retain network size limited, neurons are added to network recursively until termination condition is met. Each neuron covers some of train data. The termination condition is to cover all training data or to reach the maximum number of neurons. In each step, the center and spread of the new neuron are selected based on maximization of its coverage. Maximization of coverage of the neurons leads to a network with fewer neurons and indeed lower VC dimension and better generalization property. Using power exponential distribution function as the activation function of hidden neurons, and in the light of new learning approaches, it is proved that all data became linearly separable in the space of hidden layer outputs which implies that there exist linear output layer weights with zero training error. The proposed methods are applied to some well-known datasets and the simulation r...Continue Reading

References

Aug 18, 2004·Neural Networks : the Official Journal of the International Neural Network Society·H N Mhaskar
Dec 29, 2004·IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society·Guang-Bin HuangNarasimhan Sundararajan
Mar 1, 2005·IEEE Transactions on Neural Networks·Yen-Jen OyangZhi-Wei Chen
Dec 14, 2005·IEEE Transactions on Neural Networks·K Z Mao, Guang-Bin Huang
Jul 22, 2006·IEEE Transactions on Neural Networks·Constantinos Constantinopoulos, Aristidis Likas
Feb 6, 2008·IEEE Transactions on Neural Networks·M K Titsias, A C Likas
Jan 1, 1991·IEEE Transactions on Neural Networks·S ChenP M Grant
Apr 25, 2009·IEEE Transactions on Neural Networks·Sunan Huang, Kok Kiong Tan
Dec 17, 2009·IEEE Transactions on Neural Networks·Stefano FerrariN Alberto Borghese
Jan 20, 2010·IEEE Transactions on Neural Networks·Saichon JaiyenSuphakant Phimoltares
May 13, 2010·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Yeon Ju Lee, Jungho Yoon
May 12, 2011·IEEE Transactions on Neural Networks·Hoang Xuan HuanHuynh Huu Tue
Nov 30, 2013·Neural Networks : the Official Journal of the International Neural Network Society·Manuel Fernández-DelgadoJosé Neves
Apr 1, 2012·IEEE Transactions on Neural Networks and Learning Systems·Tiantian XieBogdan Wilamowski
Feb 1, 2012·IEEE Transactions on Neural Networks and Learning Systems·Wen YaoMichel van Tooren

❮ Previous
Next ❯

Related Concepts

Trending Feeds

COVID-19

Coronaviruses encompass a large family of viruses that cause the common cold as well as more serious diseases, such as the ongoing outbreak of coronavirus disease 2019 (COVID-19; formally known as 2019-nCoV). Coronaviruses can spread from animals to humans; symptoms include fever, cough, shortness of breath, and breathing difficulties; in more severe cases, infection can lead to death. This feed covers recent research on COVID-19.

Blastomycosis

Blastomycosis fungal infections spread through inhaling Blastomyces dermatitidis spores. Discover the latest research on blastomycosis fungal infections here.

Nuclear Pore Complex in ALS/FTD

Alterations in nucleocytoplasmic transport, controlled by the nuclear pore complex, may be involved in the pathomechanism underlying multiple neurodegenerative diseases including Amyotrophic Lateral Sclerosis and Frontotemporal Dementia. Here is the latest research on the nuclear pore complex in ALS and FTD.

Applications of Molecular Barcoding

The concept of molecular barcoding is that each original DNA or RNA molecule is attached to a unique sequence barcode. Sequence reads having different barcodes represent different original molecules, while sequence reads having the same barcode are results of PCR duplication from one original molecule. Discover the latest research on molecular barcoding here.

Chronic Fatigue Syndrome

Chronic fatigue syndrome is a disease characterized by unexplained disabling fatigue; the pathology of which is incompletely understood. Discover the latest research on chronic fatigue syndrome here.

Evolution of Pluripotency

Pluripotency refers to the ability of a cell to develop into three primary germ cell layers of the embryo. This feed focuses on the mechanisms that underlie the evolution of pluripotency. Here is the latest research.

Position Effect Variegation

Position Effect Variagation occurs when a gene is inactivated due to its positioning near heterochromatic regions within a chromosome. Discover the latest research on Position Effect Variagation here.

STING Receptor Agonists

Stimulator of IFN genes (STING) are a group of transmembrane proteins that are involved in the induction of type I interferon that is important in the innate immune response. The stimulation of STING has been an active area of research in the treatment of cancer and infectious diseases. Here is the latest research on STING receptor agonists.

Microbicide

Microbicides are products that can be applied to vaginal or rectal mucosal surfaces with the goal of preventing, or at least significantly reducing, the transmission of sexually transmitted infections. Here is the latest research on microbicides.

Related Papers

Neural Networks : the Official Journal of the International Neural Network Society
D ShiJ Gao
Neural Networks : the Official Journal of the International Neural Network Society
Dino Kosic
IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
Guang-Bin HuangN Sundararajan
Neural Networks : the Official Journal of the International Neural Network Society
A J. Morris, Jie Zhang
© 2022 Meta ULC. All rights reserved